Job Description
Join the vanguard of artificial intelligence. Nexus Core Systems is seeking a visionary Lead AI Research Scientist to spearhead our 2026 Strategic Initiative. In this pivotal role, you will architect the next generation of deep learning models designed to revolutionize enterprise scalability and human-computer interaction. This is not just a job; it is a mission to define the technological landscape of the decade.
We are looking for a thought leader who thrives in ambiguity and possesses the technical prowess to turn abstract concepts into production-ready reality. You will collaborate with a world-class team of engineers, ethicists, and product strategists to ensure our 2026 roadmap remains ahead of the curve.
Why join us?
- Work on cutting-edge generative AI and predictive analytics.
- Competitive compensation package and equity options.
- Flexible remote-first culture with state-of-the-art office amenities.
Ready to shape the future? Apply today.
Responsibilities
- Define and execute the technical vision for the 2026 AI research roadmap, focusing on breakthrough capabilities in large language models (LLMs) and computer vision.
- Design and implement novel neural network architectures that push the boundaries of current performance metrics.
- Lead a high-performance research team, providing mentorship, conducting code reviews, and fostering a culture of innovation.
- Translate complex research findings into scalable software solutions that integrate seamlessly with our existing product ecosystem.
- Stay abreast of global AI trends and academic literature to ensure Nexus remains at the forefront of the industry.
- Collaborate with cross-functional stakeholders to identify high-impact research opportunities aligned with business goals.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Mathematics, or a related field with a focus on AI/ML.
- Proven experience leading research teams or managing complex technical projects (5+ years).
- Expert proficiency in Python, PyTorch, and TensorFlow.
- Strong publication record in top-tier conferences (NeurIPS, ICML, ACL, etc.) is highly desirable.
- Demonstrated experience deploying large-scale machine learning models into production environments.
- Excellent communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.